A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...
White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...
Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...
A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could ...
In order to find a causal relationship between neural activity and physical activities, neuroscientists usually record animals' behavior and their brain activity in a controlled environment. Then they ...
Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine-learning methods can help to improve both speed and accuracy of this process.
Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
This article is published by AllBusiness.com, a partner of TIME. What is "Deep Learning"? Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It ...
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